Overview

Dataset statistics

Number of variables23
Number of observations164231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.8 MiB
Average record size in memory184.0 B

Variable types

Numeric22
Categorical1

Alerts

V2 is highly correlated with V1 and 8 other fieldsHigh correlation
V6 is highly correlated with V1 and 5 other fieldsHigh correlation
V7 is highly correlated with V1 and 11 other fieldsHigh correlation
V8 is highly correlated with V1 and 9 other fieldsHigh correlation
V1 is highly correlated with V2 and 8 other fieldsHigh correlation
V3 is highly correlated with V1 and 11 other fieldsHigh correlation
V4 is highly correlated with V1 and 9 other fieldsHigh correlation
V5 is highly correlated with V1 and 11 other fieldsHigh correlation
V9 is highly correlated with V3 and 9 other fieldsHigh correlation
V10 is highly correlated with V4 and 8 other fieldsHigh correlation
V11 is highly correlated with V9 and 5 other fieldsHigh correlation
V12 is highly correlated with V5 and 7 other fieldsHigh correlation
V14 is highly correlated with V3 and 6 other fieldsHigh correlation
V16 is highly correlated with V1 and 14 other fieldsHigh correlation
V17 is highly correlated with V3 and 9 other fieldsHigh correlation
V18 is highly correlated with V3 and 6 other fieldsHigh correlation
V20 is highly correlated with V1 and 6 other fieldsHigh correlation
V21 is highly correlated with V7 and 2 other fieldsHigh correlation
id is uniformly distributed Uniform
id has unique values Unique

Reproduction

Analysis started2023-06-18 17:42:01.910896
Analysis finished2023-06-18 17:44:51.062305
Duration2 minutes and 49.15 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct164231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82116
Minimum1
Maximum164231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 MiB
2023-06-18T14:44:51.263195image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8212.5
Q141058.5
median82116
Q3123173.5
95-th percentile156019.5
Maximum164231
Range164230
Interquartile range (IQR)82115

Descriptive statistics

Standard deviation47409.55037
Coefficient of variation (CV)0.5773485115
Kurtosis-1.2
Mean82116
Median Absolute Deviation (MAD)41058
Skewness0
Sum1.34859928 × 1010
Variance2247665466
MonotonicityStrictly increasing
2023-06-18T14:44:51.488065image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
1093821
 
< 0.1%
1094841
 
< 0.1%
1094851
 
< 0.1%
1094861
 
< 0.1%
1094871
 
< 0.1%
1094881
 
< 0.1%
1094891
 
< 0.1%
1094901
 
< 0.1%
1094911
 
< 0.1%
Other values (164221)164221
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
1642311
< 0.1%
1642301
< 0.1%
1642291
< 0.1%
1642281
< 0.1%
1642271
< 0.1%
1642261
< 0.1%
1642251
< 0.1%
1642241
< 0.1%
1642231
< 0.1%
1642221
< 0.1%

V1
Real number (ℝ)

HIGH CORRELATION

Distinct163102
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02081622195
Minimum-14.90386229
Maximum1.215246964
Zeros1
Zeros (%)< 0.1%
Negative82758
Negative (%)50.4%
Memory size1.3 MiB
2023-06-18T14:44:51.734282image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-14.90386229
5-th percentile-1.025856159
Q1-0.4458867603
median-0.02629018849
Q30.5902845472
95-th percentile0.9790907132
Maximum1.215246964
Range16.11910925
Interquartile range (IQR)1.036171308

Descriptive statistics

Standard deviation0.7099955774
Coefficient of variation (CV)34.10780204
Kurtosis9.450280094
Mean0.02081622195
Median Absolute Deviation (MAD)0.5588003841
Skewness-1.501758004
Sum3418.668947
Variance0.5040937199
MonotonicityNot monotonic
2023-06-18T14:44:51.966668image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.027898503177
 
0.1%
0.6511889825126
 
0.1%
0.666424655974
 
< 0.1%
0.657702085873
 
< 0.1%
0.65562924364
 
< 0.1%
0.667526576957
 
< 0.1%
0.638807754542
 
< 0.1%
0.791050369936
 
< 0.1%
0.509205909932
 
< 0.1%
0.64652673432
 
< 0.1%
Other values (163092)163518
99.6%
ValueCountFrequency (%)
-14.903862291
< 0.1%
-11.867622361
< 0.1%
-11.086963241
< 0.1%
-10.433848261
< 0.1%
-9.7049562941
< 0.1%
-9.6773632871
< 0.1%
-9.5458242211
< 0.1%
-9.4630034691
< 0.1%
-9.3259295831
< 0.1%
-9.0340032951
< 0.1%
ValueCountFrequency (%)
1.2152469641
< 0.1%
1.2074117241
< 0.1%
1.2039141271
< 0.1%
1.2028636911
< 0.1%
1.2005604591
< 0.1%
1.2005258591
< 0.1%
1.1954354961
< 0.1%
1.1951663251
< 0.1%
1.1932935911
< 0.1%
1.1929645611
< 0.1%

V2
Real number (ℝ)

HIGH CORRELATION

Distinct163100
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02903608189
Minimum-19.75851968
Maximum8.034236258
Zeros1
Zeros (%)< 0.1%
Negative79396
Negative (%)48.3%
Memory size1.3 MiB
2023-06-18T14:44:52.220530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-19.75851968
5-th percentile-0.7845424275
Q1-0.2968357104
median0.02353249082
Q30.422750449
95-th percentile0.7873708747
Maximum8.034236258
Range27.79275594
Interquartile range (IQR)0.7195861595

Descriptive statistics

Standard deviation0.5924373195
Coefficient of variation (CV)20.40348701
Kurtosis36.51121582
Mean0.02903608189
Median Absolute Deviation (MAD)0.363947298
Skewness-1.976329188
Sum4768.624764
Variance0.3509819776
MonotonicityNot monotonic
2023-06-18T14:44:52.440388image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1633338865175
 
0.1%
-0.3032646541117
 
0.1%
0.0375138849272
 
< 0.1%
0.194599124668
 
< 0.1%
-0.0167885428768
 
< 0.1%
0.165732013243
 
< 0.1%
0.00426354297640
 
< 0.1%
0.518331504337
 
< 0.1%
-0.598838834234
 
< 0.1%
-0.0150487252730
 
< 0.1%
Other values (163090)163547
99.6%
ValueCountFrequency (%)
-19.758519681
< 0.1%
-16.08378851
< 0.1%
-14.655817441
< 0.1%
-14.394398981
< 0.1%
-13.741487641
< 0.1%
-12.004780291
< 0.1%
-11.905787541
< 0.1%
-11.693413591
< 0.1%
-11.571219581
< 0.1%
-11.12088351
< 0.1%
ValueCountFrequency (%)
8.0342362581
< 0.1%
6.8394334441
< 0.1%
5.9913948621
< 0.1%
5.6213389441
< 0.1%
5.4830934321
< 0.1%
5.4242014081
< 0.1%
5.2912562481
< 0.1%
5.1963666341
< 0.1%
4.9491167341
< 0.1%
4.8618369531
< 0.1%

V3
Real number (ℝ)

HIGH CORRELATION

Distinct163075
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2748902739
Minimum-9.861435904
Maximum3.07278888
Zeros0
Zeros (%)0.0%
Negative46672
Negative (%)28.4%
Memory size1.3 MiB
2023-06-18T14:44:52.674259image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-9.861435904
5-th percentile-0.7789439702
Q1-0.04831103498
median0.359776459
Q30.6518127731
95-th percentile1.087417214
Maximum3.07278888
Range12.93422478
Interquartile range (IQR)0.7001238081

Descriptive statistics

Standard deviation0.5800468878
Coefficient of variation (CV)2.11010335
Kurtosis4.886638986
Mean0.2748902739
Median Absolute Deviation (MAD)0.3539258134
Skewness-1.018258676
Sum45145.50458
Variance0.336454392
MonotonicityNot monotonic
2023-06-18T14:44:52.913102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.376020478176
 
0.1%
-0.3409930965124
 
0.1%
-0.646416202276
 
< 0.1%
-1.08279830268
 
< 0.1%
-0.544992152965
 
< 0.1%
-1.02888138848
 
< 0.1%
-0.573708298146
 
< 0.1%
-0.844906853643
 
< 0.1%
-0.645805088639
 
< 0.1%
-0.577152984236
 
< 0.1%
Other values (163065)163510
99.6%
ValueCountFrequency (%)
-9.8614359041
< 0.1%
-9.5444898451
< 0.1%
-8.9646019591
< 0.1%
-8.8367648331
< 0.1%
-8.0749695491
< 0.1%
-7.8869065631
< 0.1%
-7.8599876941
< 0.1%
-6.5899290721
< 0.1%
-6.4398406381
< 0.1%
-5.8055970191
< 0.1%
ValueCountFrequency (%)
3.072788881
< 0.1%
2.7439295621
< 0.1%
2.5468581821
< 0.1%
2.1206995251
< 0.1%
2.0491989241
< 0.1%
2.0219401831
< 0.1%
1.9573894581
< 0.1%
1.954087991
< 0.1%
1.929224761
< 0.1%
1.9265814351
< 0.1%

V4
Real number (ℝ)

HIGH CORRELATION

Distinct163090
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02390297998
Minimum-2.63182518
Maximum6.134471136
Zeros0
Zeros (%)0.0%
Negative80532
Negative (%)49.0%
Memory size1.3 MiB
2023-06-18T14:44:53.156072image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.63182518
5-th percentile-0.975898596
Q1-0.3983272552
median0.01899741806
Q30.4562281077
95-th percentile1.061045638
Maximum6.134471136
Range8.766296317
Interquartile range (IQR)0.8545553629

Descriptive statistics

Standard deviation0.6317103534
Coefficient of variation (CV)26.42810035
Kurtosis0.6639862091
Mean0.02390297998
Median Absolute Deviation (MAD)0.4288354443
Skewness0.2391859301
Sum3925.610305
Variance0.3990579706
MonotonicityNot monotonic
2023-06-18T14:44:53.625038image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4211580166173
 
0.1%
-0.9523016981118
 
0.1%
-0.278543694270
 
< 0.1%
-0.241577166769
 
< 0.1%
-0.153436311963
 
< 0.1%
-0.173087677654
 
< 0.1%
0.129474397537
 
< 0.1%
0.657737916736
 
< 0.1%
-0.15629795535
 
< 0.1%
0.234195688234
 
< 0.1%
Other values (163080)163542
99.6%
ValueCountFrequency (%)
-2.631825181
< 0.1%
-2.5907668981
< 0.1%
-2.5627798911
< 0.1%
-2.5582832861
< 0.1%
-2.4158840681
< 0.1%
-2.3731665131
< 0.1%
-2.3698424651
< 0.1%
-2.2854668941
< 0.1%
-2.2823382941
< 0.1%
-2.2637932981
< 0.1%
ValueCountFrequency (%)
6.1344711361
< 0.1%
5.0784886671
< 0.1%
4.5394776711
< 0.1%
4.4828397841
< 0.1%
4.4594882951
< 0.1%
4.413228971
< 0.1%
4.0269187461
< 0.1%
3.6929151431
< 0.1%
3.5234000831
< 0.1%
3.4535735151
< 0.1%

V5
Real number (ℝ)

HIGH CORRELATION

Distinct163042
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06315800996
Minimum-18.79562944
Maximum11.41214821
Zeros0
Zeros (%)0.0%
Negative95601
Negative (%)58.2%
Memory size1.3 MiB
2023-06-18T14:44:53.858073image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-18.79562944
5-th percentile-0.8313267795
Q1-0.4221327341
median-0.08787462753
Q30.2093979295
95-th percentile0.9873543633
Maximum11.41214821
Range30.20777765
Interquartile range (IQR)0.6315306636

Descriptive statistics

Standard deviation0.5473135505
Coefficient of variation (CV)-8.665782074
Kurtosis17.28704388
Mean-0.06315800996
Median Absolute Deviation (MAD)0.3196488537
Skewness0.3407931987
Sum-10372.50313
Variance0.2995521226
MonotonicityNot monotonic
2023-06-18T14:44:54.079553image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.23153613170
 
0.1%
0.6633115534123
 
0.1%
1.014965671
 
< 0.1%
1.06962845670
 
< 0.1%
1.32067562662
 
< 0.1%
1.29161691153
 
< 0.1%
0.49238590938
 
< 0.1%
1.01545379235
 
< 0.1%
1.09687638135
 
< 0.1%
0.849218027831
 
< 0.1%
Other values (163032)163543
99.6%
ValueCountFrequency (%)
-18.795629441
< 0.1%
-10.545367581
< 0.1%
-10.128290141
< 0.1%
-8.0719166831
< 0.1%
-7.859638951
< 0.1%
-5.9492259071
< 0.1%
-5.906572941
< 0.1%
-5.8882704961
< 0.1%
-5.4791354641
< 0.1%
-5.3170011691
< 0.1%
ValueCountFrequency (%)
11.412148211
< 0.1%
10.488321481
< 0.1%
8.91720481
< 0.1%
8.3909385841
< 0.1%
8.2458876711
< 0.1%
8.1953675011
< 0.1%
6.7448128891
< 0.1%
6.462228431
< 0.1%
5.5442841491
< 0.1%
5.4680913391
< 0.1%

V6
Real number (ℝ)

HIGH CORRELATION

Distinct162990
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08725482959
Minimum-8.178916572
Maximum8.116983653
Zeros0
Zeros (%)0.0%
Negative85662
Negative (%)52.2%
Memory size1.3 MiB
2023-06-18T14:44:54.326828image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-8.178916572
5-th percentile-0.592847787
Q1-0.3112517731
median-0.02785713592
Q30.2696176498
95-th percentile1.646668957
Maximum8.116983653
Range16.29590023
Interquartile range (IQR)0.5808694228

Descriptive statistics

Standard deviation0.6158598894
Coefficient of variation (CV)7.058175374
Kurtosis3.489041769
Mean0.08725482959
Median Absolute Deviation (MAD)0.2892207773
Skewness1.412295639
Sum14329.94792
Variance0.3792834034
MonotonicityNot monotonic
2023-06-18T14:44:54.542727image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.586928212175
 
0.1%
1.718156224123
 
0.1%
1.63406481375
 
< 0.1%
1.59078196274
 
< 0.1%
1.40404188264
 
< 0.1%
1.42705099951
 
< 0.1%
1.80209299746
 
< 0.1%
0.264403274537
 
< 0.1%
1.6170172836
 
< 0.1%
1.63386868629
 
< 0.1%
Other values (162980)163521
99.6%
ValueCountFrequency (%)
-8.1789165721
< 0.1%
-6.4407298761
< 0.1%
-6.2764691891
< 0.1%
-5.9619862681
< 0.1%
-5.7867693871
< 0.1%
-5.3943034131
< 0.1%
-5.2406726981
< 0.1%
-4.8696707891
< 0.1%
-4.2082331411
< 0.1%
-4.1861426991
< 0.1%
ValueCountFrequency (%)
8.1169836531
< 0.1%
7.5412577781
< 0.1%
6.9839857651
< 0.1%
4.8583284141
< 0.1%
4.1952913581
< 0.1%
4.1683343271
< 0.1%
3.8097640081
< 0.1%
3.6718081781
< 0.1%
3.6457745081
< 0.1%
3.4631444191
< 0.1%

V7
Real number (ℝ)

HIGH CORRELATION

Distinct163114
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06119876862
Minimum-10.93809497
Maximum19.91204929
Zeros0
Zeros (%)0.0%
Negative91281
Negative (%)55.6%
Memory size1.3 MiB
2023-06-18T14:44:54.780570image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-10.93809497
5-th percentile-0.6434039102
Q1-0.3265143484
median-0.04857846857
Q30.2014798126
95-th percentile0.5195930467
Maximum19.91204929
Range30.85014426
Interquartile range (IQR)0.527994161

Descriptive statistics

Standard deviation0.4140495305
Coefficient of variation (CV)-6.765651332
Kurtosis55.08504658
Mean-0.06119876862
Median Absolute Deviation (MAD)0.2686181658
Skewness0.3456031614
Sum-10050.73497
Variance0.1714370137
MonotonicityNot monotonic
2023-06-18T14:44:54.997447image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.216062962173
 
0.1%
-0.5725634137109
 
0.1%
-0.25252255973
 
< 0.1%
-0.267496913773
 
< 0.1%
-0.0858133180563
 
< 0.1%
-0.224463076856
 
< 0.1%
-0.0937736686453
 
< 0.1%
-0.600959656236
 
< 0.1%
-0.746098090736
 
< 0.1%
0.165857251232
 
< 0.1%
Other values (163104)163527
99.6%
ValueCountFrequency (%)
-10.938094971
< 0.1%
-8.3678535371
< 0.1%
-7.9510666591
< 0.1%
-7.6684296771
< 0.1%
-7.3616409331
< 0.1%
-7.2433941821
< 0.1%
-7.0341364181
< 0.1%
-6.4825089381
< 0.1%
-6.1368137261
< 0.1%
-5.8821709171
< 0.1%
ValueCountFrequency (%)
19.912049291
< 0.1%
11.628032751
< 0.1%
7.9618954871
< 0.1%
7.8199444541
< 0.1%
6.0624901941
< 0.1%
5.463333941
< 0.1%
5.2913828861
< 0.1%
5.2537501211
< 0.1%
5.0492051421
< 0.1%
4.9585684831
< 0.1%

V8
Real number (ℝ)

HIGH CORRELATION

Distinct163064
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08175863965
Minimum-14.28503762
Maximum9.135292884
Zeros2
Zeros (%)< 0.1%
Negative57672
Negative (%)35.1%
Memory size1.3 MiB
2023-06-18T14:44:55.226297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-14.28503762
5-th percentile-0.2213365006
Q1-0.0467795416
median0.06939341249
Q30.2174175968
95-th percentile0.5087864889
Maximum9.135292884
Range23.4203305
Interquartile range (IQR)0.2641971385

Descriptive statistics

Standard deviation0.3716582691
Coefficient of variation (CV)4.545798103
Kurtosis167.188453
Mean0.08175863965
Median Absolute Deviation (MAD)0.1272609898
Skewness-6.984050718
Sum13427.30315
Variance0.138129869
MonotonicityNot monotonic
2023-06-18T14:44:55.462918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3638531004177
 
0.1%
0.479573631106
 
0.1%
0.402430127775
 
< 0.1%
0.404125049271
 
< 0.1%
0.341675866866
 
< 0.1%
0.342576885258
 
< 0.1%
0.425538958756
 
< 0.1%
0.182269380841
 
< 0.1%
0.37384613639
 
< 0.1%
0.404253528433
 
< 0.1%
Other values (163054)163509
99.6%
ValueCountFrequency (%)
-14.285037621
< 0.1%
-14.032800551
< 0.1%
-12.081300091
< 0.1%
-11.913321441
< 0.1%
-11.686407721
< 0.1%
-11.554954151
< 0.1%
-11.534130921
< 0.1%
-11.474395411
< 0.1%
-11.449117211
< 0.1%
-11.406625871
< 0.1%
ValueCountFrequency (%)
9.1352928841
< 0.1%
7.0369323311
< 0.1%
5.2889241511
< 0.1%
4.7279508211
< 0.1%
4.5743803471
< 0.1%
4.5679504961
< 0.1%
4.5437877991
< 0.1%
4.2479692251
< 0.1%
4.2013741441
< 0.1%
4.1224341331
< 0.1%

V9
Real number (ℝ)

HIGH CORRELATION

Distinct163073
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04829281548
Minimum-4.378475332
Maximum6.711957006
Zeros1
Zeros (%)< 0.1%
Negative96839
Negative (%)59.0%
Memory size1.3 MiB
2023-06-18T14:44:55.697167image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4.378475332
5-th percentile-0.9034013353
Q1-0.3696243388
median-0.08707940617
Q30.2624942971
95-th percentile0.8734013316
Maximum6.711957006
Range11.09043234
Interquartile range (IQR)0.632118636

Descriptive statistics

Standard deviation0.5202650513
Coefficient of variation (CV)-10.77313563
Kurtosis1.482092649
Mean-0.04829281548
Median Absolute Deviation (MAD)0.3101838706
Skewness0.476744446
Sum-7931.177379
Variance0.2706757236
MonotonicityNot monotonic
2023-06-18T14:44:55.920115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3043029351170
 
0.1%
0.8356507818117
 
0.1%
-0.0263620191571
 
< 0.1%
-0.148981000669
 
< 0.1%
-0.0370354163864
 
< 0.1%
0.08666490749
 
< 0.1%
-0.143307034346
 
< 0.1%
-0.992243788838
 
< 0.1%
-0.0263037150137
 
< 0.1%
0.398980167635
 
< 0.1%
Other values (163063)163535
99.6%
ValueCountFrequency (%)
-4.3784753321
< 0.1%
-2.6352886841
< 0.1%
-2.2380165931
< 0.1%
-2.2058582931
< 0.1%
-2.1417640761
< 0.1%
-2.0867201051
< 0.1%
-1.9873489751
< 0.1%
-1.983895681
< 0.1%
-1.9795619621
< 0.1%
-1.9531363991
< 0.1%
ValueCountFrequency (%)
6.7119570061
< 0.1%
5.2040126321
< 0.1%
4.534054251
< 0.1%
4.4952948761
< 0.1%
4.4221518131
< 0.1%
4.1211575611
< 0.1%
4.042846491
< 0.1%
4.0382842431
< 0.1%
3.9687190821
< 0.1%
3.9114454921
< 0.1%

V10
Real number (ℝ)

HIGH CORRELATION

Distinct163102
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01526889587
Minimum-11.0463279
Maximum7.939202453
Zeros2
Zeros (%)< 0.1%
Negative96886
Negative (%)59.0%
Memory size1.3 MiB
2023-06-18T14:44:56.155850image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-11.0463279
5-th percentile-0.5814310251
Q1-0.2529723544
median-0.05093708341
Q30.2137944023
95-th percentile0.7030855218
Maximum7.939202453
Range18.98553035
Interquartile range (IQR)0.4667667567

Descriptive statistics

Standard deviation0.4158783075
Coefficient of variation (CV)-27.23696009
Kurtosis19.62303061
Mean-0.01526889587
Median Absolute Deviation (MAD)0.2230093507
Skewness1.517008102
Sum-2507.626038
Variance0.1729547666
MonotonicityNot monotonic
2023-06-18T14:44:56.385104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.03759308497175
 
0.1%
-0.5114730149114
 
0.1%
-0.108712777868
 
< 0.1%
0.000574377266967
 
< 0.1%
-0.326048300266
 
< 0.1%
-0.267951367747
 
< 0.1%
-0.00741296598244
 
< 0.1%
-0.310399930134
 
< 0.1%
-0.090532835533
 
< 0.1%
-0.0706595505733
 
< 0.1%
Other values (163092)163550
99.6%
ValueCountFrequency (%)
-11.04632791
< 0.1%
-5.4245390961
< 0.1%
-5.3492141831
< 0.1%
-5.0099648961
< 0.1%
-4.5267898491
< 0.1%
-4.0343244871
< 0.1%
-3.7846468391
< 0.1%
-3.7228118551
< 0.1%
-3.4677412351
< 0.1%
-3.372324971
< 0.1%
ValueCountFrequency (%)
7.9392024531
< 0.1%
6.9630944731
< 0.1%
6.7080303451
< 0.1%
6.4596987851
< 0.1%
6.2366594461
< 0.1%
6.1320392531
< 0.1%
6.0466445941
< 0.1%
5.9572756441
< 0.1%
5.95438741
< 0.1%
5.8610799671
< 0.1%

V11
Real number (ℝ)

HIGH CORRELATION

Distinct163076
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04808107369
Minimum-1.632789067
Maximum3.152288877
Zeros0
Zeros (%)0.0%
Negative79284
Negative (%)48.3%
Memory size1.3 MiB
2023-06-18T14:44:56.620296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1.632789067
5-th percentile-0.7162410185
Q1-0.3120421252
median0.02777954274
Q30.4297286636
95-th percentile0.7923235901
Maximum3.152288877
Range4.785077944
Interquartile range (IQR)0.7417707888

Descriptive statistics

Standard deviation0.4762972516
Coefficient of variation (CV)9.906127608
Kurtosis-0.4837249371
Mean0.04808107369
Median Absolute Deviation (MAD)0.3733802244
Skewness0.00732500558
Sum7896.402814
Variance0.2268590718
MonotonicityNot monotonic
2023-06-18T14:44:56.841663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0317522288164
 
0.1%
-0.09571148633120
 
0.1%
-0.0143044649873
 
< 0.1%
0.209001332469
 
< 0.1%
0.0657881064365
 
< 0.1%
0.166424208849
 
< 0.1%
-0.271220041444
 
< 0.1%
0.0657802981341
 
< 0.1%
-0.121403665138
 
< 0.1%
-0.252688156937
 
< 0.1%
Other values (163066)163531
99.6%
ValueCountFrequency (%)
-1.6327890671
< 0.1%
-1.6164995011
< 0.1%
-1.6079572451
< 0.1%
-1.6054837261
< 0.1%
-1.5658638951
< 0.1%
-1.5584126321
< 0.1%
-1.5483843271
< 0.1%
-1.541549191
< 0.1%
-1.5390679241
< 0.1%
-1.5330024341
< 0.1%
ValueCountFrequency (%)
3.1522888771
< 0.1%
2.9296990181
< 0.1%
2.8846934241
< 0.1%
2.8750067961
< 0.1%
2.8611887571
< 0.1%
2.836464581
< 0.1%
2.7970497761
< 0.1%
2.5783282021
< 0.1%
2.4421429681
< 0.1%
2.4266434881
< 0.1%

V12
Real number (ℝ)

HIGH CORRELATION

Distinct163116
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009092365208
Minimum-6.315432747
Maximum2.703307177
Zeros0
Zeros (%)0.0%
Negative69634
Negative (%)42.4%
Memory size1.3 MiB
2023-06-18T14:44:57.074253image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6.315432747
5-th percentile-0.9574464358
Q1-0.1884607138
median0.06392263947
Q30.3181937594
95-th percentile0.6172366954
Maximum2.703307177
Range9.018739924
Interquartile range (IQR)0.5066544732

Descriptive statistics

Standard deviation0.4615872481
Coefficient of variation (CV)50.76646588
Kurtosis2.472367462
Mean0.009092365208
Median Absolute Deviation (MAD)0.2538439284
Skewness-1.091216832
Sum1493.24823
Variance0.2130627876
MonotonicityNot monotonic
2023-06-18T14:44:57.287568image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1752817866159
 
0.1%
0.3155136707117
 
0.1%
0.0368282575170
 
< 0.1%
-0.0140730745361
 
< 0.1%
-0.161218461960
 
< 0.1%
-0.134159369350
 
< 0.1%
0.117911977550
 
< 0.1%
-0.513576125435
 
< 0.1%
0.134415715433
 
< 0.1%
0.0368058096630
 
< 0.1%
Other values (163106)163566
99.6%
ValueCountFrequency (%)
-6.3154327471
< 0.1%
-5.5257081771
< 0.1%
-4.4724427781
< 0.1%
-4.3444859681
< 0.1%
-4.2838025281
< 0.1%
-4.2579527441
< 0.1%
-4.093283121
< 0.1%
-4.0874166171
< 0.1%
-4.0817590711
< 0.1%
-3.9794205391
< 0.1%
ValueCountFrequency (%)
2.7033071771
< 0.1%
2.6533736231
< 0.1%
2.4676707641
< 0.1%
2.1722694491
< 0.1%
2.095335181
< 0.1%
2.0161477791
< 0.1%
1.9194039551
< 0.1%
1.8748883581
< 0.1%
1.8429333721
< 0.1%
1.7899146961
< 0.1%

V13
Real number (ℝ)

Distinct163129
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01187040412
Minimum-2.186888833
Maximum1.996422572
Zeros0
Zeros (%)0.0%
Negative85708
Negative (%)52.2%
Memory size1.3 MiB
2023-06-18T14:44:57.521879image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.186888833
5-th percentile-0.8544691506
Q1-0.3413582606
median-0.02151757896
Q30.3188139315
95-th percentile0.8210532014
Maximum1.996422572
Range4.183311405
Interquartile range (IQR)0.6601721921

Descriptive statistics

Standard deviation0.5031286833
Coefficient of variation (CV)-42.38513517
Kurtosis0.338328672
Mean-0.01187040412
Median Absolute Deviation (MAD)0.3312498165
Skewness0.05478314929
Sum-1949.48834
Variance0.253138472
MonotonicityNot monotonic
2023-06-18T14:44:57.745594image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0706191611159
 
0.1%
0.01595363518109
 
0.1%
0.0206424147972
 
< 0.1%
-0.071734577368
 
< 0.1%
0.00572989475367
 
< 0.1%
-0.0638070979150
 
< 0.1%
-0.112068953938
 
< 0.1%
0.249148246937
 
< 0.1%
-0.167379199634
 
< 0.1%
-0.189047692333
 
< 0.1%
Other values (163119)163564
99.6%
ValueCountFrequency (%)
-2.1868888331
< 0.1%
-1.9983669441
< 0.1%
-1.9957293221
< 0.1%
-1.9867136931
< 0.1%
-1.9792412581
< 0.1%
-1.9741917631
< 0.1%
-1.97162721
< 0.1%
-1.9688469781
< 0.1%
-1.9685879121
< 0.1%
-1.9629210141
< 0.1%
ValueCountFrequency (%)
1.9964225721
< 0.1%
1.9491479061
< 0.1%
1.9419076261
< 0.1%
1.9340714841
< 0.1%
1.9312604451
< 0.1%
1.9170899951
< 0.1%
1.9135435571
< 0.1%
1.9069461891
< 0.1%
1.9012560431
< 0.1%
1.8697290121
< 0.1%

V14
Real number (ℝ)

HIGH CORRELATION

Distinct163100
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008342195097
Minimum-6.544953972
Maximum3.037429647
Zeros0
Zeros (%)0.0%
Negative80197
Negative (%)48.8%
Memory size1.3 MiB
2023-06-18T14:44:58.205698image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-6.544953972
5-th percentile-0.5799583807
Q1-0.1789841223
median0.007463634033
Q30.2064052189
95-th percentile0.6362981417
Maximum3.037429647
Range9.582383619
Interquartile range (IQR)0.3853893412

Descriptive statistics

Standard deviation0.3873921824
Coefficient of variation (CV)46.43767951
Kurtosis7.300652694
Mean0.008342195097
Median Absolute Deviation (MAD)0.1923963363
Skewness-0.6696963155
Sum1370.047043
Variance0.150072703
MonotonicityNot monotonic
2023-06-18T14:44:58.439329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3454858092171
 
0.1%
-0.01571269063103
 
0.1%
-0.0564605568276
 
< 0.1%
0.212750242771
 
< 0.1%
-0.577262147963
 
< 0.1%
-0.434149980455
 
< 0.1%
0.0949034876346
 
< 0.1%
-0.133003854139
 
< 0.1%
-0.0883221209636
 
< 0.1%
-0.596291003435
 
< 0.1%
Other values (163090)163536
99.6%
ValueCountFrequency (%)
-6.5449539721
< 0.1%
-6.40719151
< 0.1%
-6.0348736951
< 0.1%
-5.7992101891
< 0.1%
-5.5863576351
< 0.1%
-4.7899136711
< 0.1%
-4.7494236691
< 0.1%
-4.5819573291
< 0.1%
-4.463992391
< 0.1%
-4.3478641351
< 0.1%
ValueCountFrequency (%)
3.0374296471
< 0.1%
3.0343313281
< 0.1%
2.9796147381
< 0.1%
2.9198490221
< 0.1%
2.897883231
< 0.1%
2.8585782331
< 0.1%
2.8198483071
< 0.1%
2.7467701711
< 0.1%
2.6953668911
< 0.1%
2.6384445051
< 0.1%

V15
Real number (ℝ)

Distinct163101
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05092478525
Minimum-2.077864002
Maximum2.346661736
Zeros0
Zeros (%)0.0%
Negative69677
Negative (%)42.4%
Memory size1.3 MiB
2023-06-18T14:44:58.671177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.077864002
5-th percentile-0.769693599
Q1-0.2419697806
median0.08541819748
Q30.3982145228
95-th percentile0.6888568808
Maximum2.346661736
Range4.424525739
Interquartile range (IQR)0.6401843034

Descriptive statistics

Standard deviation0.4508661107
Coefficient of variation (CV)8.853569209
Kurtosis0.04345894654
Mean0.05092478525
Median Absolute Deviation (MAD)0.3211625957
Skewness-0.4431439641
Sum8363.428407
Variance0.2032802498
MonotonicityNot monotonic
2023-06-18T14:44:58.884055image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6376285195168
 
0.1%
0.7233134882116
 
0.1%
0.62263826571
 
< 0.1%
0.578816856867
 
< 0.1%
0.650003569259
 
< 0.1%
0.564269490951
 
< 0.1%
-0.0760448437947
 
< 0.1%
0.374663575936
 
< 0.1%
0.734455571735
 
< 0.1%
0.622575994327
 
< 0.1%
Other values (163091)163554
99.6%
ValueCountFrequency (%)
-2.0778640021
< 0.1%
-1.9967888921
< 0.1%
-1.9871133071
< 0.1%
-1.979831531
< 0.1%
-1.86233331
< 0.1%
-1.8160657571
< 0.1%
-1.8055706121
< 0.1%
-1.7999202451
< 0.1%
-1.7797830931
< 0.1%
-1.7637380341
< 0.1%
ValueCountFrequency (%)
2.3466617361
< 0.1%
2.0217029391
< 0.1%
1.739468621
< 0.1%
1.7266745281
< 0.1%
1.6866615921
< 0.1%
1.6770182911
< 0.1%
1.6515477231
< 0.1%
1.6452820931
< 0.1%
1.635058991
< 0.1%
1.5973948761
< 0.1%

V16
Real number (ℝ)

HIGH CORRELATION

Distinct163125
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005003358367
Minimum-5.869785099
Maximum2.917495855
Zeros0
Zeros (%)0.0%
Negative79779
Negative (%)48.6%
Memory size1.3 MiB
2023-06-18T14:44:59.121923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-5.869785099
5-th percentile-0.6750166421
Q1-0.2429706044
median0.01586306046
Q30.2571374312
95-th percentile0.6047776976
Maximum2.917495855
Range8.787280954
Interquartile range (IQR)0.5001080356

Descriptive statistics

Standard deviation0.395179988
Coefficient of variation (CV)-78.98294686
Kurtosis1.395151894
Mean-0.005003358367
Median Absolute Deviation (MAD)0.2513025989
Skewness-0.3988819614
Sum-821.7065479
Variance0.1561672229
MonotonicityNot monotonic
2023-06-18T14:44:59.341308image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1859810625167
 
0.1%
-0.06091018929112
 
0.1%
0.439087458980
 
< 0.1%
0.320183756371
 
< 0.1%
0.406403707468
 
< 0.1%
0.393253026843
 
< 0.1%
-0.0511374938439
 
< 0.1%
-0.0388644414838
 
< 0.1%
0.244694248635
 
< 0.1%
0.202440556231
 
< 0.1%
Other values (163115)163547
99.6%
ValueCountFrequency (%)
-5.8697850991
< 0.1%
-5.3907068471
< 0.1%
-4.2845858251
< 0.1%
-3.7950692861
< 0.1%
-3.4639914291
< 0.1%
-3.2711510141
< 0.1%
-3.1817841281
< 0.1%
-2.9535858321
< 0.1%
-2.7836449331
< 0.1%
-2.6782618481
< 0.1%
ValueCountFrequency (%)
2.9174958551
< 0.1%
2.5722996451
< 0.1%
2.1022321411
< 0.1%
2.0904625661
< 0.1%
1.9596161671
< 0.1%
1.9241689741
< 0.1%
1.8314776181
< 0.1%
1.7636156591
< 0.1%
1.7533590281
< 0.1%
1.5919231871
< 0.1%

V17
Real number (ℝ)

HIGH CORRELATION

Distinct163115
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01186872903
Minimum-9.552717941
Maximum3.663483349
Zeros1
Zeros (%)< 0.1%
Negative85457
Negative (%)52.0%
Memory size1.3 MiB
2023-06-18T14:44:59.562180image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-9.552717941
5-th percentile-0.4641571688
Q1-0.2174758696
median-0.01792964637
Q30.2004531499
95-th percentile0.5548260923
Maximum3.663483349
Range13.21620129
Interquartile range (IQR)0.4179290195

Descriptive statistics

Standard deviation0.3407512548
Coefficient of variation (CV)28.71000374
Kurtosis16.15728908
Mean0.01186872903
Median Absolute Deviation (MAD)0.2085144976
Skewness0.1732286624
Sum1949.213237
Variance0.1161114177
MonotonicityNot monotonic
2023-06-18T14:44:59.793384image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3009784014159
 
0.1%
-0.3257026185118
 
0.1%
-0.247741736673
 
< 0.1%
0.268458759968
 
< 0.1%
-0.455118251758
 
< 0.1%
0.158217630557
 
< 0.1%
-0.255525804246
 
< 0.1%
1.8322942433
 
< 0.1%
-0.337129711132
 
< 0.1%
0.00310255864931
 
< 0.1%
Other values (163105)163556
99.6%
ValueCountFrequency (%)
-9.5527179411
< 0.1%
-9.0389692011
< 0.1%
-7.8233166771
< 0.1%
-6.3864341781
< 0.1%
-5.8484740631
< 0.1%
-5.5328188941
< 0.1%
-5.424448951
< 0.1%
-5.2079691771
< 0.1%
-5.0444076331
< 0.1%
-4.8715047681
< 0.1%
ValueCountFrequency (%)
3.6634833491
< 0.1%
3.4339370451
< 0.1%
3.405937261
< 0.1%
3.3197762251
< 0.1%
3.284837241
< 0.1%
3.0723945731
< 0.1%
3.069465291
< 0.1%
3.0683885861
< 0.1%
2.8733012391
< 0.1%
2.8050491921
< 0.1%

V18
Real number (ℝ)

HIGH CORRELATION

Distinct163105
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002755285152
Minimum-2.992794846
Maximum1.941749179
Zeros0
Zeros (%)0.0%
Negative83036
Negative (%)50.6%
Memory size1.3 MiB
2023-06-18T14:45:00.040714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.992794846
5-th percentile-0.6617424512
Q1-0.2376566833
median-0.004414237408
Q30.2417149841
95-th percentile0.6411129901
Maximum1.941749179
Range4.934544025
Interquartile range (IQR)0.4793716673

Descriptive statistics

Standard deviation0.3954035498
Coefficient of variation (CV)-143.5073061
Kurtosis0.7297686699
Mean-0.002755285152
Median Absolute Deviation (MAD)0.2394850932
Skewness-0.1199650732
Sum-452.5032358
Variance0.1563439672
MonotonicityNot monotonic
2023-06-18T14:45:00.274565image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02632007313173
 
0.1%
0.3089852383108
 
0.1%
-0.034349049875
 
< 0.1%
0.0832365559272
 
< 0.1%
0.356436506366
 
< 0.1%
0.293928126549
 
< 0.1%
-0.0389219907942
 
< 0.1%
-0.0344607133640
 
< 0.1%
0.104648069535
 
< 0.1%
0.198328546533
 
< 0.1%
Other values (163095)163538
99.6%
ValueCountFrequency (%)
-2.9927948461
< 0.1%
-2.9764134031
< 0.1%
-2.5470526461
< 0.1%
-2.4422830871
< 0.1%
-2.4240030291
< 0.1%
-2.2232254321
< 0.1%
-2.1829349441
< 0.1%
-2.1479875861
< 0.1%
-1.9476357821
< 0.1%
-1.9297859631
< 0.1%
ValueCountFrequency (%)
1.9417491791
< 0.1%
1.9096958441
< 0.1%
1.7032008531
< 0.1%
1.6963145741
< 0.1%
1.6962093981
< 0.1%
1.6922795011
< 0.1%
1.6259631821
< 0.1%
1.5863785691
< 0.1%
1.5858560081
< 0.1%
1.5256686241
< 0.1%

V19
Real number (ℝ)

Distinct163118
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001820025502
Minimum-2.140813997
Maximum2.045486908
Zeros0
Zeros (%)0.0%
Negative81575
Negative (%)49.7%
Memory size1.3 MiB
2023-06-18T14:45:00.524083image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.140813997
5-th percentile-0.6246038341
Q1-0.2349158472
median0.002972494758
Q30.2361653352
95-th percentile0.5836496846
Maximum2.045486908
Range4.186300905
Interquartile range (IQR)0.4710811823

Descriptive statistics

Standard deviation0.3761642607
Coefficient of variation (CV)-206.6807637
Kurtosis0.7100251748
Mean-0.001820025502
Median Absolute Deviation (MAD)0.2349797219
Skewness-0.08859710468
Sum-298.9046082
Variance0.141499551
MonotonicityNot monotonic
2023-06-18T14:45:00.742619image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1652952242160
 
0.1%
0.4638000223117
 
0.1%
0.087588111873
 
< 0.1%
0.127633837272
 
< 0.1%
0.00338677761370
 
< 0.1%
0.182967017349
 
< 0.1%
0.0246750415947
 
< 0.1%
-0.126461947938
 
< 0.1%
0.165584424531
 
< 0.1%
-0.232007227230
 
< 0.1%
Other values (163108)163544
99.6%
ValueCountFrequency (%)
-2.1408139971
< 0.1%
-2.0387173471
< 0.1%
-1.9271683431
< 0.1%
-1.9121761591
< 0.1%
-1.8582453961
< 0.1%
-1.8329142771
< 0.1%
-1.8291996691
< 0.1%
-1.8195083181
< 0.1%
-1.818847781
< 0.1%
-1.7983006361
< 0.1%
ValueCountFrequency (%)
2.0454869081
< 0.1%
2.0157145831
< 0.1%
1.9180912091
< 0.1%
1.8722489391
< 0.1%
1.8696477671
< 0.1%
1.8600841361
< 0.1%
1.7830604121
< 0.1%
1.7830084281
< 0.1%
1.7554122791
< 0.1%
1.7540442781
< 0.1%

V20
Real number (ℝ)

HIGH CORRELATION

Distinct163120
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005289986735
Minimum-9.339532822
Maximum6.792874681
Zeros0
Zeros (%)0.0%
Negative90634
Negative (%)55.2%
Memory size1.3 MiB
2023-06-18T14:45:00.967647image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-9.339532822
5-th percentile-0.2126128592
Q1-0.08726290886
median-0.01797726954
Q30.06787036185
95-th percentile0.2769623304
Maximum6.792874681
Range16.1324075
Interquartile range (IQR)0.1551332707

Descriptive statistics

Standard deviation0.2268551221
Coefficient of variation (CV)42.88387352
Kurtosis119.0215215
Mean0.005289986735
Median Absolute Deviation (MAD)0.07566918853
Skewness1.171912073
Sum868.7798115
Variance0.05146324641
MonotonicityNot monotonic
2023-06-18T14:45:01.190135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.09018505928161
 
0.1%
0.002878327709111
 
0.1%
0.00847607708978
 
< 0.1%
0.0268035596564
 
< 0.1%
0.0163670621556
 
< 0.1%
0.0226087205945
 
< 0.1%
-0.0269256357942
 
< 0.1%
-0.104434875738
 
< 0.1%
0.0144177414237
 
< 0.1%
-0.0837777081533
 
< 0.1%
Other values (163110)163566
99.6%
ValueCountFrequency (%)
-9.3395328221
< 0.1%
-9.2278679421
< 0.1%
-6.9199364621
< 0.1%
-6.5463667981
< 0.1%
-6.5067831381
< 0.1%
-6.3757447781
< 0.1%
-5.6363175631
< 0.1%
-5.2904171351
< 0.1%
-4.4543762121
< 0.1%
-4.4244491421
< 0.1%
ValueCountFrequency (%)
6.7928746811
< 0.1%
6.1749188541
< 0.1%
5.4179469831
< 0.1%
5.4140528691
< 0.1%
5.3321328731
< 0.1%
5.0704326761
< 0.1%
4.5817826351
< 0.1%
4.5739168761
< 0.1%
4.5492239251
< 0.1%
4.4667949691
< 0.1%

V21
Real number (ℝ)

HIGH CORRELATION

Distinct163154
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01260405149
Minimum-7.344810252
Maximum11.03147274
Zeros0
Zeros (%)0.0%
Negative91614
Negative (%)55.8%
Memory size1.3 MiB
2023-06-18T14:45:01.434567image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7.344810252
5-th percentile-0.2206421408
Q1-0.09182981232
median-0.01841029443
Q30.06038310497
95-th percentile0.190816494
Maximum11.03147274
Range18.37628299
Interquartile range (IQR)0.1522129173

Descriptive statistics

Standard deviation0.2190439469
Coefficient of variation (CV)-17.37885211
Kurtosis272.1293126
Mean-0.01260405149
Median Absolute Deviation (MAD)0.07579328565
Skewness5.348200399
Sum-2069.975981
Variance0.04798025066
MonotonicityNot monotonic
2023-06-18T14:45:01.650403image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1348824757173
 
0.1%
-0.03210414074104
 
0.1%
-0.156653722769
 
< 0.1%
-0.171338122368
 
< 0.1%
-0.103716202267
 
< 0.1%
-0.0959099914146
 
< 0.1%
-0.0939581029442
 
< 0.1%
-0.0201187963835
 
< 0.1%
-0.0605628157833
 
< 0.1%
-0.134660382529
 
< 0.1%
Other values (163144)163565
99.6%
ValueCountFrequency (%)
-7.3448102521
< 0.1%
-6.7122687411
< 0.1%
-5.9736164451
< 0.1%
-5.0024344911
< 0.1%
-4.9907071361
< 0.1%
-4.7483898271
< 0.1%
-4.6282854871
< 0.1%
-4.5618320911
< 0.1%
-4.5396358541
< 0.1%
-4.533602831
< 0.1%
ValueCountFrequency (%)
11.031472741
< 0.1%
11.001758281
< 0.1%
10.414676771
< 0.1%
8.2269635291
< 0.1%
7.5267751751
< 0.1%
7.4531173621
< 0.1%
7.4180007841
< 0.1%
7.2835627591
< 0.1%
6.6335387451
< 0.1%
5.963791381
< 0.1%

Class
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
0
163878 
1
 
353

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters164231
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Length

2023-06-18T14:45:01.856489image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2023-06-18T14:45:02.041385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number164231
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common164231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII164231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0163878
99.8%
1353
 
0.2%

Interactions

2023-06-18T14:44:43.146537image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:48.525026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:53.879692image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:59.529883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:05.051161image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:10.580560image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:15.794090image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:21.262327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:27.012719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:32.653921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:38.121475image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:43.594678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:49.053987image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:54.413558image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:59.900949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:04.979356image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:10.412499image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:15.781801image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:20.940422image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:26.884138image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:32.322533image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:37.548182image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:43.399334image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:48.774880image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:54.341447image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:59.770746image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:05.300019image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:10.819421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:16.039964image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:21.510954image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:27.262575image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:32.893018image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:38.382095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:43.841537image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:49.296848image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:54.649423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:00.141753image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:05.214221image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:10.653361image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:16.013095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:21.289707image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:27.129616image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:32.564394image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:37.798038image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:43.656730image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:49.030272image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:54.597281image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:00.025603image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:05.552871image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:11.066297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:16.296800image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:21.766468image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:27.523429image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:33.141875image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:38.627976image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:44.095391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:49.543705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:54.899300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:00.392606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:05.459061image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:10.905416image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:16.254955image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:21.553557image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
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2023-06-18T14:44:42.649840image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:48.600597image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:53.631854image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:42:59.274031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:04.804851image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:10.326801image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:15.561102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:21.012494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:26.755539image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:32.408063image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:37.877283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:43.358815image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:48.802128image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:54.153705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:43:59.661085image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:04.746466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:10.060701image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:15.541939image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:20.702539image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:26.630301image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:32.068678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:37.307535image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-06-18T14:44:42.899678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Correlations

2023-06-18T14:45:02.455146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2023-06-18T14:45:02.833663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2023-06-18T14:45:03.202469image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2023-06-18T14:45:03.583234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2023-06-18T14:44:48.953837image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-06-18T14:44:49.874389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

idV1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21Class
01-0.2994680.5333390.5929280.0949160.0154140.0191420.0458140.177430-0.040845-0.201868-0.508314-0.165179-0.0069070.0820390.7836910.046401-0.1819000.2016590.1863390.0521750.0816690
120.529493-0.0948370.3417110.568313-0.3183450.201856-0.3024140.2082400.290601-0.0056050.7257650.176963-0.9345740.2483620.231307-0.1213900.045858-0.088862-0.320489-0.1329450.0517780
230.605630-0.024632-0.042535-0.023267-0.135464-0.1414560.093773-0.093751-0.5869080.282549-0.2954690.3549530.681119-0.082467-0.037362-0.9235010.0248950.135814-0.367899-0.084424-0.2738910
34-0.3461730.6477830.473604-0.1657120.127780-0.2212390.2959040.076857-0.220782-0.110628-0.5222360.1017330.5606040.0018840.4091690.236170-0.362497-0.0854380.2100890.112295-0.1369540
450.240050-0.6889080.5255680.434648-0.3717450.799044-0.3329580.2274230.783561-0.423634-0.1468170.8165700.561863-0.4838980.041915-0.6164400.548586-0.956886-0.3794540.2359590.0359240
560.522962-0.0687750.1694930.520835-0.0383850.1152230.0242890.029732-0.041955-0.0237650.5293370.7751950.4139960.029435-0.243259-0.008389-0.245432-0.0712990.0844690.061213-0.0534540
670.493538-0.1949230.6768480.543412-0.5279340.263542-0.5080510.1824080.319352-0.0267500.7279050.7861890.611418-0.2029060.5272640.406691-0.4374010.404636-0.330723-0.0012380.2022000
780.5955750.343461-0.2888420.5611380.277458-0.2954440.125678-0.042964-0.177258-0.2855720.8185500.202419-0.185772-0.5242370.2532900.3456620.4096190.513948-0.208742-0.0702940.0045810
890.667274-0.767776-0.118783-0.784741-0.5887840.019499-0.4441110.003212-0.8832730.767492-0.037233-0.519060-0.273224-0.002453-0.199964-0.0368400.0644750.3389580.251967-0.057029-0.1564080
9100.505464-0.1226530.6849230.670651-0.4032220.472497-0.4375270.2650600.447968-0.0238770.5872080.481212-0.617290-0.016735-0.266408-0.2404320.155044-0.321318-0.145922-0.124018-0.0809090

Last rows

idV1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21Class
1642211642221.089984-0.035635-1.250939-0.0543650.293795-0.8483900.388308-0.2654240.348949-0.038784-0.689939-0.348218-0.9535070.6220280.083949-0.5193460.032270-0.1284090.318345-0.1729260.1163580
164222164223-0.2264730.5897640.3859500.4090920.692789-0.4298790.968387-0.267409-0.591173-0.189934-0.318174-0.0061150.0398710.241688-0.132250-0.6220490.032171-0.2440440.2328060.0774670.0356490
164223164224-0.3434000.4393920.021358-0.3470290.440015-0.3658490.3875400.123249-0.408324-0.3023670.1044680.003017-0.6438570.489902-0.678449-0.096219-0.2374340.1350840.161259-0.1159000.1518590
164224164225-0.5186460.195609-0.061474-0.2956720.236274-0.6389740.1319670.2036950.214251-0.973878-0.5572620.138790-0.283678-0.674455-0.6744550.1204380.5359220.004994-0.2462240.038181-0.0934540
164225164226-0.326462-0.0392910.8453480.554146-0.2015000.1228590.1259290.0976650.166920-0.180695-0.670715-0.414643-0.451626-0.0515000.4065810.042408-0.1969580.2239560.2969380.0614180.1219720
1642261642270.945540-0.636454-1.891954-0.6944691.0063941.3330400.0758700.200967-0.5514120.429079-0.1403190.003988-0.0624750.457187-0.036584-1.154964-0.0207120.595263-0.140924-0.097852-0.0906850
1642271642280.0698620.474324-1.456827-1.0924150.941858-0.5284120.8628120.009045-0.411747-0.128967-0.2287670.258073-0.0356200.655400-0.946454-0.159390-0.4586980.049198-0.097779-0.0582690.2457340
1642281642291.029171-0.019496-0.9642760.1650580.135064-0.367832-0.0869390.0724120.424644-0.0682490.089963-0.884821-1.9688470.0156730.0140500.4417830.1959010.5038950.151688-0.192415-0.1533200
1642291642301.039613-1.081195-0.892917-1.4024440.2764232.019006-1.0779500.511892-0.4326210.768096-0.029440-0.442975-0.127359-0.2128650.332778-0.1683170.1509830.1956240.018885-0.0954920.0549550
164230164231-0.2158790.649585-0.285801-0.5807500.570882-0.6294350.850776-0.227290-0.278489-0.0247270.6872740.5864630.3613520.262834-0.463130-0.189906-0.320088-0.0808700.0172350.0290660.1128150